This paper applies the Bates (RFS, 2006) methodology to the problem of estimating and filtering time- changed Lévy processes, using daily data on U.S. stock market excess returns over 1926-2006. In contrast to density-based filtration approaches, the methodology recursively updates the associated conditional characteristic functions of the latent variables. The paper examines how well time-changed Lévy specifications capture stochastic volatility, the "leverage" effect, and the substantial outliers occasionally observed in stock market returns. The paper also finds that the autocorrelation of stock market excess returns varies substantially over time, necessitating an additional latent variable when analyzing historical data on stock market returns. The paper explores option pricing implications, and compares the results with observed prices of options on S&P 500 futures.
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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number
14913.
Length: Date of creation: Apr 2009 Date of revision: Handle: RePEc:nbr:nberwo:14913
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Find related papers by JEL classification: C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions C46 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Specific Distributions G1 - Financial Economics - - General Financial Markets G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
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References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
Gallant, A Ronald & Rossi, Peter E & Tauchen, George, 1992.
"Stock Prices and Volume,"
Review of Financial Studies,
Oxford University Press for Society for Financial Studies, vol. 5(2), pages 199-242.
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